Deep Learning-Based Synthetic Contrast-Enhanced Breast MRI for Monitoring Response to Neoadjuvant Therapy.
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| Title: | Deep Learning-Based Synthetic Contrast-Enhanced Breast MRI for Monitoring Response to Neoadjuvant Therapy. |
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| Authors: | Sujichantararat S; Department of Radiology, University of Washington, Seattle, WA 98195, USA., Biswas D; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Kazerouni AS; Department of Radiology, University of Washington, Seattle, WA 98195, USA., Tsang ED; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Sathe A; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Hippe DS; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA., Park VY; Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Chung M; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA., Specht JM; Division of Hematology and Oncology, University of Washington, Seattle, WA 98195, USA., Dintzis SM; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA., Rahbar H; Department of Radiology, University of Washington, Seattle, WA 98195, USA., Holmes JH; Departments of Radiology, Biomedical Engineering, and Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA., Huang W; Department of Radiation Oncology, Research Institute, Corewell Health, Royal Oak, MI 48073, USA.; Department of Radiation Oncology, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA., Partridge SC; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA. |
| Source: | Cancers [Cancers (Basel)] 2026 Jun 04; Vol. 18 (11). Date of Electronic Publication: 2026 Jun 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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